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Review Paper: Implementing Syndromic Surveillance: A Practical Guide Informed by the Early Experience.

, , , , , , , , , , , , , and . J. Am. Medical Informatics Assoc., 11 (2): 141-150 (2004)

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Real World Performance of Approximate String Comparators for use in Patient Matching., , and . MedInfo, volume 107 of Studies in Health Technology and Informatics, page 43-47. IOS Press, (2004)Healthcare Data Visualization: Geospatial and Temporal Integration., , , , , , and . VISIGRAPP (2: IVAPP), page 214-221. SciTePress, (2016)Discriminative boosted Bayes networks for learning multiple cardiovascular procedures., , , and . BIBM, page 870-873. IEEE Computer Society, (2017)LAHVA: Linked Animal-Human Health Visual Analytics., , , , , , , , , and . IEEE VAST, page 27-34. IEEE Computer Society, (2007)Improving Vaccine-Preventable Disease Reporting through Health Information Exchange., , and . AMIA, AMIA, (2015)Reviewing and Managing Syndromic Surveillance SaTScan™ Datasets using an Open-Source Data Visualization Tool., , and . AMIA, AMIA, (2005)Comparison of Free-Text Synthetic Data Produced by Three Generative Adversarial Networks for Collaborative Health Data Analytics., , and . AMIA, AMIA, (2019)Measuring and Improving the Fitness of Electronic Clinical Data for Reuse in Public Health, Research, and Other Use Cases., , and . AMIA, AMIA, (2013)An Adversorial Approach to Enable Re-Use of Machine Learning Models and Collaborative Research Efforts Using Synthetic Unstructured Free-Text Medical Data., , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1510-1511. IOS Press, (2019)Modeling heart procedures from EHRs: An application of exponential families., , , , and . BIBM, page 491-497. IEEE Computer Society, (2017)